Prevalence of Depression in Patients With Mild Cognitive Impairment A Systematic Review and Meta-analysis

dc.contributor.authorIsmail, Zahinoor
dc.contributor.authorElbayoumi, Heba
dc.contributor.authorFischer, Corinne E
dc.contributor.authorHogan, David B
dc.contributor.authorMillikin, Colleen P
dc.contributor.authorSchweizer, Tom
dc.contributor.authorMortby, Moyra
dc.contributor.authorSmith, Eric E
dc.contributor.authorPatten, Scott B
dc.contributor.authorFiest, Kirsten M
dc.date.accessioned2022-09-27T04:43:20Z
dc.date.issued2017
dc.date.updated2020-11-23T10:58:38Z
dc.description.abstractImportance Depression is common in individuals with mild cognitive impairment (MCI) and may confer a higher likelihood of progression to dementia. Prevalence estimates of depression in those with MCI are required to guide both clinical decisions and public health policy, but published results are variable and lack precision. Objective To provide a precise estimate of the prevalence of depression in individuals with MCI and identify reasons for heterogeneity in the reported results. Data Sources A search of literature from database inception to March 2016 was performed using Medline, Embase, and PsycINFO. Hand searching of all included articles was performed, including a Google Scholar search of citations of included articles. Study Selection Articles were included if they (1) were published in English, (2) reported patients with MCI as a primary study group, (3) reported depression or depressive symptoms using a validated instrument, and (4) reported the prevalence of depression in patients with MCI. Data Extraction and Synthesis All abstracts, full-text articles, and other sources were reviewed, with data extracted in duplicate. The overall prevalence of depression in patients with MCI was pooled using a random-effects model. Heterogeneity was explored using stratification and random-effects meta-regression. Main Outcomes and Measures The prevalence of depression in patients with MCI, reported as a percentage with 95% CIs. Estimates were also stratified by population source (community-based or clinic-based sample), method of depression diagnosis (clinician-administered, informant-based, or self-report), and method of MCI diagnosis (cognitive vs global measure and amnestic vs nonamnestic). Results Of 5687 unique abstracts, 255 were selected for full-text review, and 57 studies, representing 20 892 patients, met all inclusion criteria. The overall pooled prevalence of depression in patients with MCI was 32% (95% CI, 27-37), with significant heterogeneity between estimates (I2 = 90.7%). When stratified by source, the prevalence of depression in patients with MCI in community-based samples was 25% (95% CI, 19-30) and was 40% (95% CI, 32-48) in clinic-based samples, which was significantly different (P < .001). The method used to diagnose depression did not significantly influence the prevalence estimate, nor did the criteria used for MCI diagnosis or MCI subtype. Conclusions and Relevance The prevalence of depression in patients with MCI is high. A contributor to heterogeneity in the reported literature is the source of the sample, with greater depression burden prevalent in clinic-based samples.en_AU
dc.description.sponsorshipThis study was funded by the University of Calgary Department of Psychiatry, the Katthy Taylor Chair in Vascular Dementia, and the Alzheimer Society of Calgary via the Hotchkiss Brain Instituteen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2168-622Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/274093
dc.language.isoen_AUen_AU
dc.publisherAmerican Medical Associationen_AU
dc.rightsCopyright 2017 American Medical Association. All rights reserveden_AU
dc.sourceJAMA Psychiatryen_AU
dc.titlePrevalence of Depression in Patients With Mild Cognitive Impairment A Systematic Review and Meta-analysisen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage67en_AU
local.bibliographicCitation.startpage58en_AU
local.contributor.affiliationIsmail, Zahinoor, University of Calgaryen_AU
local.contributor.affiliationElbayoumi, Heba, Department of Community Health Sciences, Cumming School of Medicine, University of Calgaryen_AU
local.contributor.affiliationFischer, Corinne E, Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontarioen_AU
local.contributor.affiliationHogan, David B, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgaryen_AU
local.contributor.affiliationMillikin, Colleen P, Max Rady College of Medicine, University of Manitobaen_AU
local.contributor.affiliationSchweizer, Tom, Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St Michael’s Hospitalen_AU
local.contributor.affiliationMortby, Moyra, College of Health and Medicine, ANUen_AU
local.contributor.affiliationSmith, Eric E, University of Calgaryen_AU
local.contributor.affiliationPatten, Scott B, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgaryen_AU
local.contributor.affiliationFiest, Kirsten M, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgaryen_AU
local.contributor.authoruidMortby, Moyra, u5080546en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor111702 - Aged Health Careen_AU
local.identifier.ariespublicationu4321547xPUB132en_AU
local.identifier.citationvolume74en_AU
local.identifier.doi10.1001/jamapsychiatry.2016.3162en_AU
local.identifier.scopusID2-s2.0-85011382913
local.identifier.thomsonID000392117300013
local.publisher.urlhttp://archpsyc.jamanetwork.com/en_AU
local.type.statusPublished Versionen_AU

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